Kavli Affiliate: Gang Su | First 5 Authors: Ze Liu, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: The geometric properties of parameter space are mostly described by Berry curvature and quantum metric, which is the imaginary and real part of quantum geometric tensor, respectively. In this work, we calculate the dressed Berry curvature and […]
Kavli Affiliate: Gang Su | First 5 Authors: Ze Liu, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: The geometric properties of parameter space are mostly described by Berry curvature and quantum metric, which are the imaginary and real part of quantum geometric tensor, respectively. In this work, we calculate the dressed Berry curvature and […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou, | Summary: Deep learning has been widely applied to solve partial differential equations (PDEs) in computational fluid dynamics. Recent research proposed a PDE correction framework that leverages deep learning to correct the solution obtained by a PDE solver on […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou, | Summary: Deep learning has been widely applied to solve partial differential equations (PDEs) in computational fluid dynamics. Recent research proposed a PDE correction framework that leverages deep learning to correct the solution obtained by a PDE solver on […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Yi Zhou, Sattoshi Hattori, , | Summary: Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used accounting for between-study heterogeneity. However, meta-analysis of sparse data, which may arise when the event rate is low for binary […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Yi Zhou, Satoshi Hattori, , | Summary: Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used to account for between-study heterogeneity. However, meta-analysis of sparse data, which may arise when the event rate is low for […]
Kavli Affiliate: Long Zhang | First 5 Authors: Zhongdong Han, Tingxin Li, Long Zhang, Rui-Rui Du, | Summary: We report a magneto-induced topological phase transition in inverted InAs/GaSb bilayers from a quantum spin Hall insulator to a normal insulator. We utilize a dual-gated Corbino device in which the degree of band inversion, or equivalently the […]
Kavli Affiliate: Gang Su | First 5 Authors: Chuandi Zhang, Junsen Xiang, Quanliang Zhu, Longfei Wu, Shanfeng Zhang | Summary: The recent discovery of the spin supersolid candidate Na$_2$BaCo(PO$_4$)$_2$ stimulates numerous research interest on the triangular-lattice transition-metal phosphates. Here we report a comprehensive study on the structural, magnetic and magnetocaloric properties of polycrystalline Na$_2$$A$$T$(PO$_4$)$_2$ ($A$ […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Qi Zhang, Yi Zhou, Shaofeng Zou, , | Summary: This paper provides the first tight convergence analyses for RMSProp and Adam in non-convex optimization under the most relaxed assumptions of coordinate-wise generalized smoothness and affine noise variance. We first analyze RMSProp, which is a special case of […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou | Summary: Distributionally robust optimization (DRO) is a powerful framework for training robust models against data distribution shifts. This paper focuses on constrained DRO, which has an explicit characterization of the robustness level. Existing studies on constrained […]